agent-expenditure
Monitor token consumption in parallel agent scheduling, identify waste, and optimize scheduling strategies.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agent-expenditure. It is used for: Monitor token consumption in parallel agent scheduling, identify waste, and optimize scheduling strategies. Full Skill content: https://321skill.com/skills/agent-expenditure-x-5/raw/index.md Read that page and install it.
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This Skill addresses the issue of surging, hard-to-quantify token consumption due to coordination overhead in multi-agent parallel scheduling scenarios. In practical development, developers often need to invoke multiple AI agents concurrently to accelerate task processing but lack effective tools to measure each agent's actual contribution and resource usage, easily leading to token waste and uncontrolled costs.
Usage is straightforward: simply trigger this Skill for analysis after completing a multi-agent parallel scheduling task. It automatically tracks each agent's token usage, identifies waste caused by work conflicts, redundant efforts, or poor coordination, and generates a detailed efficiency report. You can then use natural language instructions to view overhead ratios guided by Brooks's Law, waste signal classifications, and specific optimization suggestions.
It is well-suited for teams or individuals frequently engaged in multi-agent collaboration, especially developers or project managers already employing parallel agent strategies for complex tasks (e.g., large-scale code review, multi-dimensional data analysis, automated workflow orchestration). It is also highly valuable for operations engineers and agent developers aiming to control AI invocation costs and improve team collaboration efficiency.
It is recommended to use this tool for retrospective analysis after each parallel task involving four or more agents. Note that it primarily performs post-hoc analysis, is not suitable for single-agent workflows or real-time monitoring, and its analysis relies on logs and file operation records generated during agent execution.
Key Features
Unlike tools that only tally total token consumption, it delves into coordination overhead (e.g., file read/write conflicts) in parallel scheduling scenarios and provides quantitative guidance based on Brooks's Law along with specific waste signal detection, helping users determine whether adding more agents is truly beneficial.
Limitations
This Skill relies on runtime logs from agent execution to track token usage and file operations. If the underlying scheduling framework does not provide such data, its analytical capabilities will be limited.
FAQ
Can this Skill monitor token consumption in real time?
No, it is a post-hoc analysis tool intended for use after multi-agent parallel tasks are completed, for retrospective review and optimizing future scheduling strategies.
Can it be used for single-agent workflows?
Not recommended. The core value of this Skill lies in analyzing coordination overhead among multiple agents; single-agent scenarios have minimal such overhead, making its use less meaningful.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-expenditure-x-5/raw/index.md to read the original Skill definition (Markdown format) for agent-expenditure, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-expenditure-x-5/raw/index.md